I would like to script a bivariate analysis where the number of Y inputs is unknown. The Y inputs will vary based on the parent data table, and the number of inputs will change, but their locations will be the same (new columns are added to the end). How can I script this? I am using JMP10.
An example is below.
bigClass = Open( "$SAMPLE_DATA/Big Class.JMP" );
cc = bigClass << Get Column Names;
Remove From( cc, 1, 3 );
biv = bigClass << Bivariate( Y( Eval List( cc ) ), X( :age ) ); // How to evaluate cc as data columns?
Solved! Go to Solution.